QUT ePrints

Statistical eye model for normal eyes

Rozema, Jos J., Atchison, David A., & Tassignon, Marie-José (2011) Statistical eye model for normal eyes. Investigative Ophthalmology and Visual Science, 52(7), pp. 4525-4533.

View at publisher

Abstract

Purpose. To create a binocular statistical eye model based on previously measured ocular biometric data.

Methods. Thirty-nine parameters were determined for a group of 127 healthy subjects (37 male, 90 female; 96.8% Caucasian) with an average age of 39.9 ± 12.2 years and spherical equivalent refraction of −0.98 ± 1.77 D. These parameters described the biometry of both eyes and the subjects' age. Missing parameters were complemented by data from a previously published study. After confirmation of the Gaussian shape of their distributions, these parameters were used to calculate their mean and covariance matrices. These matrices were then used to calculate a multivariate Gaussian distribution. From this, an amount of random biometric data could be generated, which were then randomly selected to create a realistic population of random eyes.

Results. All parameters had Gaussian distributions, with the exception of the parameters that describe total refraction (i.e., three parameters per eye). After these non-Gaussian parameters were omitted from the model, the generated data were found to be statistically indistinguishable from the original data for the remaining 33 parameters (TOST [two one-sided t tests]; P < 0.01). Parameters derived from the generated data were also significantly indistinguishable from those calculated with the original data (P > 0.05). The only exception to this was the lens refractive index, for which the generated data had a significantly larger SD.

Conclusions. A statistical eye model can describe the biometric variations found in a population and is a useful addition to the classic eye models.

Impact and interest:

9 citations in Scopus
Search Google Scholar™
7 citations in Web of Science®

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

99 since deposited on 20 Mar 2012
44 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 49203
Item Type: Journal Article
Keywords: Statistical eye model, ocular biometry
DOI: 10.1167/iovs.10-6705
ISSN: 0146-0404
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Optometry & Vision Science
Copyright Owner: Copyright © 2011 IOVS.
Deposited On: 20 Mar 2012 14:25
Last Modified: 20 Mar 2012 15:05

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page